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Introduction: Today the ability of nations to develop and implement innovations is core for their international competitiveness. Ukraine is striving for innovation progress; however, its innovation performance is relatively low. The research problem is to find the bottlenecks, affecting Ukraine’s innovation capability.

Purpose: This study aims to research the national innovation capability profiles, based on cluster analysis, to develop an understanding of drivers and threats for the innovation capability of Ukraine.

Need of the study: The knowledge-based economy, which had already turned into one of the most efficient developmental models of the 21st century, became a key driver of international competitiveness for the leading developed countries due to their progressive structural shifts towards the growth of high-technology manufacturing and knowledge-intensive sectors. These trends are significant to capture for the sake of increasing the innovation capability of the economy of Ukraine.

Methodology: The study is based on the K-means clustering method, which is employed for identifying 10 country clusters based on the indicators of their R&D and innovation activities, which allowed us to assess the innovation capability of Ukraine in comparison with 140 countries of the world. Data selection and normalisation were based on the 2019 Global Competitiveness Report indicators.

Findings: The study showed that Ukraine’s innovation capability problems are typical for most developing countries and are prevalently connected to low R&D expenditures, patent applications, and international co-invention activities. Most countries, except for the technologically developed ones, follow the so-called ‘passive technological learning’ strategies, which usually result in low economic productivity.

Practical implications: Several innovation policy implications have been developed for the government of Ukraine based on the cluster analysis results and accounting for the problems of the national innovation system (NIS).

In the context of higher education and further education, scientific research plays a major role in the development and quality of teaching and careers (research active teachers). However, this opportunity is denied to most teachers of languages for specific purposes (LSP) who find themselves teaching their subject without any prior training in a specialized field with which they are not familiar. To compensate for the lack of specific training for these teachers, a training experiment including a component devoted to an initiation to scientific research was conducted (TRAILs, 2021). The arrival of the pandemic forced us to change the project to a distance learning format shortly before its implementation, which was planned for a summer session at the university. We describe the innovative online training module for developing a research career that focused on action research and empowerment of participants.

The pandemic has brought to light the importance of quickly adopting new technologies and building resilient organisations. Also, the Sustainable Development Goals (SDGs) can be addressed in large part through technological innovations. The development of smart systems which are linked with the Internet of Things (IoT) can create different opportunities to strategically face the barriers linked with the SDGs and make sure that there is an environmentally sustainable, equitable and healthy society. This study has utilised secondary and qualitative data and has adopted the interpretative and deductive approaches. It has given significance to several aspects of the SDGs and has linked them with digital technology such as accessibility to safe and clean portable water, production of sustainable food along with the generation of green energy and its utilisation. This study has evaluated the advantages of digitalisation so that it can catalyse the transition towards SDGs and improve the health of the citizens by giving digital accessibility specifically to the underserved community. The research has selected the most essential themes which are linked to the context of SDGs and has deeply evaluated a lot of information obtained from authentic secondary resources. At last, it provides a conclusion and recommendations where it has suggested several initiatives which could be made for enhancing the overall scenario and has also disguised the limitations that were identified while completing the study.

In the context of Saudi Arabia, this chapter investigates how clustering promotes knowledge sharing and transfer in an emerging, government-directed industry cluster. It is determined that lateral actors play a key facilitating role, and formal and informal mechanisms and interpersonal links among actors support that cluster knowledge exchange. Limited social capital strength and depth and a lack of trust that prevents knowledge sharing are partially explained by the cluster's limited vertical and horizontal actors.

Africa is a vast, immensely diverse continent with hundreds of local languages, traditions, values, and cultures that shape the lives of its people. The vast resources available on the continent present numerous opportunities for economic development and prosperity. The preceding chapters in this volume have explored many of these resources, highlighting the importance of indigenous knowledge in driving sustainable business structures across Africa. This chapter concludes with practical recommendations for implementing and sustaining indigenous knowledge on the continent and building a more equitable and sustainable future for Africa. We anticipate that these observations and recommendations will aid African researchers, government and non-governmental organisations, educators, business actors and leaders, legislators, and the general public in thinking globally but acting locally to advance indigenous knowledge in Africa.

This chapter discusses the growing importance of research-related information in the face of increased complexities and competitiveness within higher education environments globally. It provides some reflections on the importance of institutional research cultures to effectively address these challenges, focussing on the African context, and the role of effective research support through institutional structures such as a dedicated research office. The increasingly strategic role of research management has led to the need for a more active and visionary role in the positioning of institutions by supporting decision-making and contributing to the development and visibility of institutional research portfolios. The authors provide their insights into the scope of research-related information, the need for research offices to perform this strategic function, how these information sets can be applied in reports, evidence-based decisions, institutional showcasing, and enhanced research support. The chapter includes aspects to consider when establishing a research-related information management function within institutions.

Women working in public relations (PR) in the 1990s developed the power of metamodern pragmatism to avoid being constrained in this decade of contradictions.

This was a time of promise for female empowerment and careers. The PR industry in Britain had quadrupled in size, yet increased feminisation and professionalisation did not resolve gender inequity. Indeed, alongside the existence of ‘old boys clubs’ and hedonistic macho agencies in the industry, the 1990s offered a lad's mag culture and an AbFab image of PR.

An original collaborative historical ‘Café Delphi’ method was developed using three themes (sex, sexuality and sexism) to explore women's careers and contributions in the expanding and increasingly powerful field of PR in the United Kingdom during the 1990s. It built on feminist critique of the industry and paradoxical portrayals of women resulting from significant changes in media, popular culture and a pluralistic marketplace.

Individual and collective experiences of women working in PR at the time reveal the power of attitudes to affect their ability to achieve equality and empowerment. Women navigated tensions between the benefits of accelerated pluralism and the patriarchal resistance in the workplace through performative choices and a deep sense of pragmatism.

Over the years, at the international level, the social construction assumption according to which women would be less innovative than men and, consequently, also less prone to be involved in innovative fields, since their educational path decisions to career path decisions, has long prevailed. This has resulted in a widespread lack of representation of women in more innovative sectors, in comparison to their male counterparts. In recent years then, if the pandemic has had an impact, at least for some specific socio-economic contexts, especially on those that can be typically considered as ‘necessity entrepreneurs’, it has to be said that it has been able also to generate some virtuous dynamics crosswise related to innovative issues. In particular, this chapter aims to go in depth into these issues from the perspective of innovative women entrepreneurs in the attempt to answer to the following questions: how does the socio-economic environment affect innovative women entrepreneurs? And, what are the unique experiences, achievements and contributions of innovative women entrepreneurs in Italy? In order to answer to these specific research questions, an analysis based on direct interviews with a sample of Italian innovative women entrepreneurs has been conducted.

Innovation policy and innovation systems undoubtedly play a crucial role in shaping the path of economic development of contemporary economies. A particularly interesting context for studying the evolution of this area is offered by post-transition economies which had to undergo fundamental structural changes and face the global competition where the advances in knowledge and technological progress ultimately decide between success or failure.

The chapter aims to portray and evaluate the key developments in the innovation policy and national innovation system of Poland – one of the largest and most successful post-transition economies.

The methodological framework of the study involves a descriptive analysis of the major changes in the regulatory and institutional settings as well as an analysis of statistical data on the crucial dimensions of Poland's innovation policy and innovation system over the period 2000–2021. Additionally, the overall effects of the policy have been assessed using the data from the European Innovation Scoreboard (over 2015–2022) and the Global Innovation Index (over 2008–2022).

The findings suggest that the significant changes in Poland's innovation policy and innovation system frameworks introduced since the mid-2000s have resulted in a dynamic increase in the intensity of R&D efforts, especially in the business enterprise sector, allowing to narrow the structural gaps dividing the country from more advanced economies and markedly improve its overall research and innovative performance. A key role in this process has been played by the direct and indirect government support for innovative activities.

Purpose: Innovation is a multi-dimensional phenomenon influenced at the organisational level by internal and external factors that can determine how innovative an organisation can be, determining a firm’s business performance. This chapter measures and predicts how innovative a company can be, considering key internal factors using modern data analytics/science.

Need for Study: The increasing challenge of modern business operations is affected by how quickly, sustainably, effectively, and efficiently companies can innovate to mitigate the dynamic challenges of current business environments and evolving customer needs. The ability to predict, measure, and manage innovation becomes necessary to ensure that businesses are fit for purpose.

Methodology: A model was designed following the study hypotheses and statistically tested. A historical data sample from the OECD global industry dataset for eight years was used for the analysis. The ordinary least square method was used to test for model fit. Also, in machine learning engineering, predictive analysis using the multivariate linear regression analysis method was carried out.

Findings: The results support the hypotheses that an organisation’s capacity to be innovative can be measured and predicted, and it is influenced by a good number of internal factors or independent variables at various degrees.

Practical Implications: Managers must understand how to measure and predict innovation metrics to manage innovation better, ultimately leading to better business outcomes and performance. Also proposed are new measurement matrices for innovation management: innovation capacity (I_C), business innovation value (BIV), innovation creation factor (ICF), and a practical data-driven innovation management and prediction system.